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NVIDIA DIGITS VS Amazon Machine Learning

Compare NVIDIA DIGITS VS Amazon Machine Learning and see what are their differences

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NVIDIA DIGITS logo NVIDIA DIGITS

DIGITS (the Deep Learning GPU Training System) is a webapp for training deep learning models.

Amazon Machine Learning logo Amazon Machine Learning

Machine learning made easy for developers of any skill level
  • NVIDIA DIGITS Landing page
    Landing page //
    2023-10-16
  • Amazon Machine Learning Landing page
    Landing page //
    2023-03-13

NVIDIA DIGITS videos

+ Add

Nvidia DIGITS for Deep Learning Review and Demo

More videos:

  • Review - Building Convolutional Neural Networks with NVIDIA DIGITS

Amazon Machine Learning videos

+ Add

Introduction to Amazon Machine Learning - Predictive Analytics on AWS

More videos:

  • Tutorial - AWS Machine Learning Tutorial | Amazon Machine Learning | AWS Training | Edureka

Category Popularity

0-100% (relative to NVIDIA DIGITS and Amazon Machine Learning)

NVIDIA DIGITS

Amazon Machine Learning

OCR
100 100%
OCR
0% 0
AI
0 0%
AI
100% 100
Data Science And Machine Learning
6 6%
Data Science And Machine Learning
94% 94
Developer Tools
0 0%
Developer Tools
100% 100

User comments

Share your experience with using NVIDIA DIGITS and Amazon Machine Learning. For example, how are they different and which one is better?
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Social recommendations and mentions

Amazon Machine Learning might be a bit more popular than NVIDIA DIGITS. We know about 2 links to it since March 2021 and only 2 links to NVIDIA DIGITS. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

NVIDIA DIGITS mentions (2)

  • Tools for CNN training like NVIDIA DIGITS
    I'm not quite sure if this is the place to ask it, but I'll give it a shot. Several years ago, during my PhD, I used to train small CNNs using NVIDIA DIGITS tool (https://developer.nvidia.com/digits), that is basically a frontend to tasks such as build datasets, configure training parameters, follow real time training data (epochs), test classification and export training for usage. This is a oversimplified... Source: over 1 year ago
  • Does anything benefit from more than 1 GPU?
    Also frameworks which make moving to multiGPU easy, like DIGITS: https://developer.nvidia.com/digits. Source: almost 3 years ago

Amazon Machine Learning mentions (2)

  • Rant + Planning to learn full stack development
    There’s also the ML as a service (MLaaS) movement that lowers the barrier for common ML capabilities (eg image object detection and audio transcription). Basically, you use APIs. See: https://aws.amazon.com/machine-learning/. Source: almost 2 years ago
  • Ask the Experts: AWS Data Science and ML Experts - Mar 9th @ 8AM ET / 1PM GMT!
    Do you have questions about Data Science and ML on AWS - https://aws.amazon.com/machine-learning/. Source: over 3 years ago

What are some alternatives?

When comparing NVIDIA DIGITS and Amazon Machine Learning, you can also consider the following products

Knet - Knet is a deep learning framework that supports GPU operation and automatic differentiation using dynamic computational graphs for models.

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

Lobe - Visual tool for building custom deep learning models

Floyd - Heroku for deep learning

Apple Machine Learning Journal - A blog written by Apple engineers

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